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Visually Analyzing Latent Accessibility Clusters of Urban POIs

Farah Kamw, Shamal AL-Dohuki, Ye Zhao, Jing Yang, Xinyue Ye, Wei Chen
2019 Eurographics Conference on Visualization  
In this paper, we present a visualization system that helps users to find and visualize Latent Accessibility Clusters (LACs) of POIs.  ...  Accessibility of urban POIs (Points of Interest) is a key topic in a variety of urban sciences and applications as it reflects inherent city design, transportation, and population flow features.  ...  Therefore, we propose Latent Accessibility Clusters (LACs) by applying graphbased spatial clustering on urban POIs based on their accessibility similarities.  ... 
doi:10.2312/eurova.20191123 dblp:conf/vissym/KamwAZYY019 fatcat:k7v5lkmp5bb5vcbjfobq2yah5u

Discovering Urban Functional Zones By Latent Fusion of Users GPS Data and Points of Interests [article]

Wen Tang, Alireza Chakeri, Hamid Krim
2020 arXiv   pre-print
In this paper, we propose a framework to discover the functional zones by analyzing urban structures and social behaviors.  ...  The proposed approach models the inner influences between spatial locations and human activities by fusing the semantic meanings of both Point of Interests (POIs) and human activities to learn the latent  ...  We would like to thank Valassis Digital to support this research and provide access to their data.  ... 
arXiv:2004.09720v1 fatcat:ihv7xxqwibb7bk5tne2dikzmsq

A Graph Based Visual Query Method for Massive Human Trajectory Data

Zhongshuai Wang, Yuan Yuan, Liang Chang, Xiyan Sun, Xiaonan Luo
2019 IEEE Access  
However, current visual query methods for urban data suffer from two main problems.  ...  INDEX TERMS Functional zones construction, human trajectory data, visual query, visual analysis.  ...  accessible at low cost, reducing the difficulty of urban research.  ... 
doi:10.1109/access.2019.2948304 fatcat:li7glaitrjgyjohrfwj367e4qi

Discovering Urban Functional Polycentricity: A Traffic Flow-Embedded and Topic Modeling-Eased Methodology Framework

Shaodong Wang, Yanbin Liu, Wei Zhi, Xihua Wen, Weihua Zhou
2020 Sustainability  
This framework was evaluated on real-world datasets from the Wujiang district, Suzhou, China, which contains 151,419 records of taxi trajectory data and 86,036 records of points of interest (POI) data.  ...  This proposed methodology can help urban authorities better understand urban dynamics in terms of function distribution and internal connectedness and facilitate urban development in terms of urban planning  ...  by high traffic accessibility.  ... 
doi:10.3390/su12051897 fatcat:dji7uaxjifghxh5nkosclgrg2u

A GloVe-Based POI Type Embedding Model for Extracting and Identifying Urban Functional Regions

Chengkun Zhang, Liuchang Xu, Zhen Yan, Sensen Wu
2021 ISPRS International Journal of Geo-Information  
Third, we cluster the TAZs and annotate the urban functional types in clustered regions by calculating enrichment factors.  ...  Points-of-interest (POIs) are an important carriers of location text information in smart cities and have been widely used to extract and identify urban functional regions.  ...  [12] extracted urban functional regions by analyzing POI co-occurrence patterns after combining social media check-in data with POIs and integrating the data into the latent Dirichlet allocation (LDA  ... 
doi:10.3390/ijgi10060372 fatcat:5cespei4ebaj5hv6dgruu3mv5m

A Method for Identifying Urban Functional Zones Based on Landscape Types and Human Activities

Yongcai Jing, Ranhao Sun, Liding Chen
2022 Sustainability  
The data included points of interest (POIs), land use type data, road network data, socioeconomic data, and population density.  ...  The performance with weighted data was better than that with raw data, and the level of the POI classification scheme and landscape pattern affected the accuracy of identification UFZs.  ...  (http://data.ess.tsinghua.edu.cn/ accessed 1 January 2020).  ... 
doi:10.3390/su14074130 fatcat:26hre7hzibepdo4o6smbxkzffu

From Hotel Reviews to City Similarities: A Unified Latent-Space Model

Luca Cagliero, Moreno La Quatra, Daniele Apiletti
2020 Electronics  
Reviews and point of interest (POI) descriptions are jointly modelled in a unified latent space, allowing us to deeply investigate the dependencies between guest feedbacks and the hotel neighborhood at  ...  In the context of hospitality management, a challenging research problem is to identify effective strategies to explain hotel reviews and ratings and their correlation with the urban context.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/electronics9010197 fatcat:fnnwj2qfsrhfrkfjgdsumlwsh4

Detecting urban commercial patterns using a latent semantic information model: A case study of spatial-temporal evolution in Guangzhou, China

Shili Chen, Haiyan Tao, Xuliang Li, Li Zhuo, Rudi Stouffs
2018 PLoS ONE  
We use a Dirichlet multinomial regression (DMR) model to extract latent semantic information and determine urban functional areas from global positioning system (GPS) and point-of-interest (POI) data collected  ...  The results show that the urban commercial structure in Guangzhou gradually changed from a single-center model to a multi-center model with dispersed clusters and that the distribution of the entire spatial  ...  This work was supported by the National Natural Science Foundation of China under grant 41371499 and Natural Science Foundation Team Project of Guangdong under grant 2014A030312010.  ... 
doi:10.1371/journal.pone.0202162 pmid:30125278 fatcat:x3cshkj5kba6dhvufw5fjdl7k4

West Lake Tourist: A Visual Analysis System Based on Taxi Data

Jiang, Cao, Liu, Fan
2019 Smart Cities  
Mining the mobile pattern of the urban population plays an important role in city construction, and visual analysis is a powerful technique in studying mobile patterns.  ...  Besides, our system can present the dynamic travel process and the Point of Interest (POIs) information of the origin and the destination.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/smartcities2030021 fatcat:gbqxuzorf5a7pa2gakk5zvdl4y

An adaptive network-constrained clustering (ANCC) model for fine-scale urban functional zones

Jie Song, Hanfa Xing, Huanxue Zhang, Yuetong Xu, Yuan Meng
2021 IEEE Access  
From a visual inspection, one can find that these POIs can cover the entire study area (excluding the green land and water bodies, which are not accessible).  ...  [21] proposed a new framework based on hierarchical clustering integrating remote sensing imagery and mobile phone positioning data to analyze urban functional zones with landscape and human activity  ... 
doi:10.1109/access.2021.3070345 fatcat:ckiyfiicjvgztfgfojrsgbxadm

Data Mining and Knowledge Discovery [chapter]

Chao Zhang, Jiawei Han
2021 The Urban Book Series  
The availability of massive social-sensing data provides a unique opportunity for understanding urban space in a data-driven manner and improving many urban computing applications, ranging from urban planning  ...  In this chapter, we present recent developments in data-mining techniques for urban activity modeling, a fundamental task for extracting useful urban knowledge from social-sensing data.  ...  We predicted the location at two different granularities: (1) coarse-grained region prediction of the ground-truth region that r falls in; and (2) fine-grained POI prediction of the ground-truth POI  ... 
doi:10.1007/978-981-15-8983-6_42 fatcat:gxnx3jgu4fcqvbieg3ltmdovk4

Regionalization of Social Interactions and Points-of-Interest Location Prediction With Geosocial Data

Achilleas Psyllidis, Jie Yang, Alessandro Bozzon
2018 IEEE Access  
) in conjunction with contiguity-constrained hierarchical clustering, to identify homogeneous regions of social interaction in cities and, subsequently, estimate appropriate locations for new POIs.  ...  Drawing on the discovered regions, we build a Factorization Machine-based model to estimate appropriate locations for new POIs in different urban contexts.  ...  ACKNOWLEDGMENT The authors would like to thank Erik Boertjes for his help in visualizing the multi-dimensional clusters (regions) on the maps of the three case-study cities.  ... 
doi:10.1109/access.2018.2850062 fatcat:hnd7rpbhkzf3xmmcm5sowu4miq

Smart Cities In Stars: Food Perceptions And Beyond

Maria Pontiki, Panagiota Koltsida, Dimitris Gkoumas, Dimitris Pappas, Haris Papageorgiou, Eleni Toli, Yannis Ioannidis
2018 Zenodo  
We analyze Foursquare user reviews about food-related points of interest in ten European cities, and we explore the imprint of a city as it is shaped based on the spatial distribution of food-related topics  ...  The topic modelling and sentiment analysis results are visualized using geo-referenced heat maps that enrich the cities maps with information that allows for a more insightful navigation across their different  ...  of Interest (POIs) [3] , identify and visualize typical day-today traffic patterns [4] , as well as to improve existing city maps.  ... 
doi:10.5281/zenodo.1314229 fatcat:at4cixlteja5jbopichpn2hn5q

Crowdsourced Data Mining for Urban Activity: Review of Data Sources, Applications, and Methods

Haifeng Niu, Elisabete A. Silva
2020 Journal of urban planning and development  
Crowdsourced data, such as social media data, points of interest (POIs) data, and collaborative websites, generated by the crowd, have become fine-grained proxy data of urban activity and widely used in  ...  This paper is part of the Journal of Urban Planning and Development, © ASCE, ISSN 0733-9488. © ASCE 04020007-1 J. Urban Plann. Dev. J. Urban Plann.  ...  To explore patterns of activity, Foursquare Labs presented the global distribution of urban activity and allowed activity distribution analysis to visualize 500 million POIs data (Foursquare Labs .  ... 
doi:10.1061/(asce)up.1943-5444.0000566 fatcat:vec2lz2olbfbjoem2lfnulzswi

Identification of urban regions' functions in Chengdu, China, based on vehicle trajectory data

Qingke Gao, Jianhong Fu, Yang Yu, Xuehua Tang, David M. Levinson
2019 PLoS ONE  
In this research, we developed a clustering method to help discover the specific functions that exist within urban regions.  ...  It is difficult, however, to quantify the function of urban regions based on the varieties of human behavior.  ...  We applied the PCC clustering method to classify urban regions' main time-series curve of inflow and trip count characteristics. 3.  ... 
doi:10.1371/journal.pone.0215656 pmid:31034481 pmcid:PMC6488063 fatcat:akbms5h6dffvhf3k6p44yeku34
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